Triple

T17204433
Position Surface form Disambiguated ID Type / Status
Subject Abbottabad District E417562 entity
Predicate hasTerrainFeature P5378 FINISHED
Object Galyat hill tract E994072 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Galyat hill tract | Statement: [Abbottabad District, hasTerrainFeature, Galyat hill tract]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Galyat hill tract
Context triple: [Abbottabad District, hasTerrainFeature, Galyat hill tract]
  • A. Galyat hill tract chosen
    Galyat hill tract is a scenic mountainous region in northern Pakistan known for its forested hills, cool climate, and popular hill stations.
  • B. Gurian hills
    The Gurian Hills are a hilly upland region in western Georgia characterized by forested landscapes, mild humid climate, and traditional rural settlements.
  • C. Barda Hills
    Barda Hills is a hilly region in the Indian state of Gujarat known for its wildlife sanctuary, diverse flora and fauna, and scenic landscapes.
  • D. Ropsha Hills
    Ropsha Hills is a hilly upland area in the Leningrad Oblast of Russia known for its distinctive topography and geological features.
  • E. Darassa Hills
    Darassa Hills is a historic elevated area in Cairo that forms the scenic backdrop to Al-Azhar Park and offers panoramic views over the old city.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42db1e01c81909db0491fd9f49bed completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fde8ba08190ae88dc9ea3366a68 completed May 11, 2026, 4:49 a.m.
Created at: April 10, 2026, 5:38 a.m.